The maximum likelihood method with estimated nuisance parameters in hazard rate models with discontinuities

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

Let X 1,...,X n be i.i.d. with common hazard function, a step function with exactly one jump. The location of the jump is the parameter of interest and is to be estimated based on our sample. We prove consistency and convergence in law of our estimators with rate n and non-normal limit distribution. There is also L p -convergence with exact rate n -1. This statistical experiment is non-regular in the sense of Ibragimov and Has'minskii (1981). Our approach is extended to general hazard functions with one jump-point. The basic idea can also be used in a complete nonparametric framework.

Details

Original languageEnglish
Pages (from-to)1091-1114
Number of pages24
JournalStatistica Sinica / International Chinese Statistical Association ; Institute of Statistical Science, Academia Sinica, Taipei
Volume17
Issue number3
Publication statusPublished - Jul 2007
Peer-reviewedYes

Keywords

Keywords

  • Argmax of Poisson-process, Change-point, Maximum-likelihood, Nonparametric hazard